Featured Research: How Predictive Analytics, Automation & AI Will Impact Job Advertising Spend

Get the most from your recruitment budget

Job Advertising in Today’s Recruitment Marketing EcosystemWith HR budget season around the corner, the recruitment industry is moving toward a more data-driven approach to allocating their annual spend. Between job advertising, partnerships, employer branding events, and other recruitment expenses, there’s a lot to factor when it comes to balancing a recruitment budget. And as the US labor market tightens, employers are becoming more conscious of how they spend their recruitment budget to reach both active and passive job candidates.

The average employer spends 30% of their recruitment budget on job advertising, yet is unable to prove the ROI of their advertising efforts. In other words, employers are spending a substantial portion of their recruitment budget on advertising job openings without knowing if they are getting their money’s worth in sourcing and hiring quality candidates.

Three recruitment KPIs are driving change in today’s recruitment industry. These include time-to-hire, cost-per-hire, and applicant quality. Through automation, predictive analytics, and artificial intelligence, employers are more enabled than ever before to improve the efficiency and effectiveness of their advertising efforts.

Over the next several years, recruitment marketing will become more dependent on technology enabled by automation and built on predictive analytics and AI to maximize ROI. Automation, predictive analytics, and AI work in unison to help employers reduce their time-to-hire and cost-per-hire, while increasing their applicant quality.

Before a job opening is even advertised, predictive analytics show the expected performance of the job over a specific period by analyzing vast amounts of historical data. With AI-enabled algorithms, the technology is then able to automate time consuming manual processes that are prone to human error and lead to higher internal costs. This results in job advertisements that are measured and monitored in real-time to meet its predicted performance.

With this advanced approach, technology does what it can do best: make cost-effective and time-efficient job advertising spend decisions in a fraction of a second. Instead of wasting your time managing how your budget is spent across multiple job sites and trying to sort the data manually to track performance and measure ROI, you can focus on choosing the right candidates to hire.

pandoIQ is the most advanced recruitment job advertising solution enabled to eliminate the inefficient processes and unnecessary spending common to employers with complex hiring needs.

pandoIQ fully-automates and optimizes the process of advertising jobs using algorithms built on advanced data science, machine-learning and artificial intelligence. The disruptive platform empowers employers to get the most from their recruitment spend using a single, data-driven solution that eliminates the manual processes, data silos, and inefficient spend common to managing job advertising across multiple job sites independently.

pandoIQ’s proprietary campaign algorithms utilize PandoLogic’s 10+ years of historical job performance data comprised of 199 billion data attributes to establish predictive-performance benchmarks that determine when, where and how each job is campaigned online. The pandoIQ algorithms then allocate budget and optimize campaign spend in real-time across all jobs during the campaigning period. Additionally, the platform gives employers full visibility into predicted performance, overall spend and individual job performance in real-time.

To learn more about how pandoIQ can help you source the right talent from across the Web, click here.

Alaina Beauchamp is the Director of Demand Generation at PandoLogic. Visit pandologic.com Connect Alaina Beauchamp